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Chenxi Zhang

4 papers hereh-index 218 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Chenxi Zhang — 3 papers, h 6
  • Chenxi Zhang — 3 papers, h 7
  • Chenxi Zhang — 3 papers, h 8
  • Chenxi Zhang — 2 papers, h 9
  • Chenxi Zhang — 1 paper, h 4
  • Chenxi Zhang — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedCGCOD: Class-Guided Camouflaged Object Detection

10 citations · 10 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Code-Interactive Visual Reasoning for Financial Candlestick Understanding

Chenxi Zhang, Youwei Pang, Xiaoqi Zhao +4

Financial candlestick understanding requires locating visual elements, aligning them across trading dates and panels, and combining observations through numerical and financial rea…

cs.CV2026

FinMTM: A Multi-Turn Multimodal Benchmark for Financial Reasoning and Agent Evaluation

Chenxi Zhang, Ziliang Gan, Liyun Zhu +3

The financial domain poses substantial challenges for vision-language models (VLMs) due to specialized chart formats and knowledge-intensive reasoning requirements. However, existi…

cs.CV2025

Retrospective Memory for Camouflaged Object Detection

Chenxi Zhang, Jiayun Wu, Qing Zhang +2

Camouflaged object detection (COD) primarily focuses on learning subtle yet discriminative representations from complex scenes. Existing methods predominantly follow the parametric…

cs.CV2025★ 10 cited

CGCOD: Class-Guided Camouflaged Object Detection

Chenxi Zhang, Qing Zhang, Jiayun Wu +1

Camouflaged Object Detection (COD) aims to identify objects that blend seamlessly into their surroundings. The inherent visual complexity of camouflaged objects, including their lo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.